code: def compute_runtime_gap(func_df):
      """Computes runtime gap between CrypTen and Plain Text"""
      func_df["runtime gap"] = (
          func_df["runtime crypten"] / func_df["runtime"]
      )
      func_df["runtime gap Q1"] = (
          func_df["runtime crypten Q1"] / func_df["runtime"]
      )
      func_df["runtime gap Q3"] = (
          func_df["runtime crypten Q3"] / func_df["runtime"]
      )
      return func_df
  
file_path: CrypTen/benchmarks/dash_app/load_data.py
imports: import os
  import pandas
label_desc: Use image node_id 6 for calling a global function with example usage: compute_runtime_gap(func_df) and returns: func_df